AMEE Realtime – Making Buildings Smarter

Business Challenge:

In 2009 the United Kingdom’s Technology Strategy Board launched a research program for retrofitting UK housing stock in order to achieve the 2050 target of 80% greenhouse gas emissions reduction by reducing energy demand. The Technology Strategy Board wanted to take a unique approach leveraging innovative technologies to foster new proof-of-concept houses that demonstrate scalable and cost-effective solutions for nation-wide rollout. A major challenge was to establish a platform capable of receiving data from all types of technology providers rather than providing preference to one particular technology.

Solution:

AMEE solved this problem by developing AMEEconnect Real Time, a robust system to gather, store and monitor data from multiple sensors in hundreds of homes in the project at a 5 minute time resolution. AMEE Real Time captures data from a variety of sensors (e.g. electricity, air pressure, temperature, building envelope) enabling project managers and home owners to analyse building conditions in real time and learn how to better manage homes and reduce costs, energy consumption and environmental impacts.

Key Features

AMEE developed several key new features to support this solution and enable project partners to easily and quickly integrate various technologies. These include:

AMON: We developed AMON (AMEE Monitoring Object Notation) as an open standard for metering and monitoring data that has been adopted by hardware partners. AMON enables the easy integration of smart meter device generated data into the platform and is open source making it easily compatible with other formats and standards. Learn more about AMON on Github.

Real Time data capture: AMEEconnect Real Time is a distinct highly scalable data storage platform and API that facilitates the collection of large volumes of data from metering devices at high frequency intervals. The API can receive data continuously or in batch transmissions.

Storage and Analysis: AMEE structure and stores all captured data in the cloud thereby reducing administration costs and enabling analytics.